IoT Sustainability Solutions For Manufacturing
Lower Energy Usage and Cost
Reduce carbon footprint and energy-related production costs by an average of 10% for more sustainable manufacturing.
White paper
Optimizing energy use in manufacturing with data and AI
SAS is helping manufacturers deliver mathematically optimized insights that empower production operators to tune process recipe setpoints, accelerate time to value, and provide significant energy cost savings associated with manufacturing processes.
How SAS® Helps Lower Energy Usage and Cost
Identify optimum shift parameters
Dynamically compare current and historical production runs and show the drivers of energy consumption.
Minimize energy consumption while maintaining quality
Determine the exact process setpoints to apply by using a set of mathematical optimization solvers.
Improve sustainability efforts
Reduce carbon footprint and help meet ESG requirements.
Why choose SAS for lowering manufacturing energy usage and cost?
Easily gain the insights you need to make setpoint changes fast.
- IoT data integration. Access, integrate and enrich data from varying sources across your plant, including raw materials, dryers, kilns and weather.
- Built-in data model. Combine environmental, MES, PLC, SCADA and LIMS data for automated explainers of the process parameters most affecting energy consumption.
- Prebuilt machine learning models. Easily deploy these models to learn what changes you need to make across the plant with best-in-class analytics.
- Prebuilt visualizations and dashboards. View data analyses across the organization and enable engineers to take quick, insight-backed actions that result in significant energy savings.
Accelerate time to value with integrated energy modules.
- Automated explainers. Provide engineers with the missing insights needed to affect key process parameters with a relationship analyzer for energy consumed and process parameters.
- Golden shift analyzer. Identify optimum shift parameters for each process setting using advanced analytics models to dynamically compare current production runs to historical runs with very low energy consumption.
- Setpoint analyzer. Gain recommendations for operators on the exact setpoints they should apply to the process to minimize energy consumption while maintaining quality using mathematical optimization solvers.
Featured Offering
SAS Energy Cost Optimization
Watch how Wienerberger AG has benefitted from SAS Energy Cost Optimization.
With SAS Energy Cost Optimization, you can reduce energy usage, carbon footprint and CO2 certificate spending while maintaining quality and yield. Take the guesswork out of making improvements – combine and analyze IoT and process data from across the production process, use prebuilt analytic models to predict specific energy consumption and make sense of variable impacts. These capabilities deliver mathematically optimized insights that empower production operators to quickly tune the process recipe setpoints, accelerating time to value and providing an average energy cost savings of 10%.
What Analysts Are Saying
AI in Manufacturing: Enabling Business-Driven Factory Innovations
SAS solutions can help manufacturing organizations to develop and implement data-driven and AI-enabled use cases that help to execute business-driven factory innovations.
Gartner® Magic Quadrant™ for Data Quality Solutions
Augmented data quality – driven by AI/ML, metadata, convergence and integrations across data management offerings for useful automation – continues to be the key driver in this market. This research allows data and analytics leaders to understand the vendor landscape and make the best choice.
SAS in Manufacturing – Facts & Figures
2800+
manufacturing customers in more than 52 countries
75%
of manufacturing companies in the Fortune 500 rely on SAS
100%
of subsectors, whether process or discrete
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